L’editoria accademica, i dati della ricerca e l’intelligenza artificiale

The article examines the transformative impact of artificial intelligence (AI) and research data management on academic publishing, emphasizing global trends and the conservative stance of Italian publishers. It highlights initiatives such as Open Science, FAIR principles (Findable, Accessible, Interoperable, Reusable), and Text and Data Mining (TDM), discussing their challenges and potential for innovation. The role of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) in automating academic workflows, addressing ethical concerns, and promoting inclusivity is explored. The article concludes by advocating for equitable access to AI tools and data, aligning technology with the principles of cultural heritage preservation and knowledge democratization